NF1 Antibody

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Description

Molecular Context of NF1 Antibodies

The NF1 gene (chromosome 17) encodes neurofibromin, a GTPase-activating protein that inhibits Ras-mediated cell proliferation . Over 3,000 NF1 mutations are documented, causing neurofibromatosis type 1 (NF1) and contributing to sporadic tumors like gliomas and breast cancers . Antibodies targeting neurofibromin enable:

  • Quantification of protein expression levels

  • Identification of NF1-inactivated tumors

  • Validation of therapeutic interventions

Key Antibody Development Breakthroughs

iNFixion Bioscience engineered a monoclonal antibody using full-length NF1 protein immunogens, achieving superior performance compared to legacy tools :

FeatureiNFixion AntibodyTraditional Antibodies
Detection Sensitivity0.5 ng/mL (ELISA)5-10 ng/mL
SpecificityNo cross-reactivityVariable
Assay CompatibilityWB, IHC, ELISALimited to 1-2 methods

This antibody, developed with Abterra Biosciences’ platform, detects native and truncated neurofibromin isoforms critical for NF1 haploinsufficiency studies .

Technical Performance Data

Proteintech’s NF1 antibody (27249-1-AP) demonstrates versatility across experimental protocols :

ApplicationProtocol DetailsValidation Status
Western Blot1:500 dilution; 10% SDS-PAGE50+ publications
IHC1:50 dilution; antigen retrieval pH6Peer-reviewed
Immunofluorescence1:100 dilution; methanol fixationConfirmed in gliomas

The NFC clone (C-terminal specific) shows 83% concordance with molecular NF1 inactivation in gastrointestinal stromal tumors (GISTs), providing a diagnostic surrogate .

Table 1: Key Studies Using NF1 Antibodies

Study FocusSample SizeKey OutcomeCitation
GIST NF1 inactivation98 tumors24/29 NF1-mutant GISTs showed NFC loss
Triple-negative breast cancer120 casesIGF2BP3-mediated NF1 degradation linked to progression
ALK inhibitor resistance15 cell linesNF1 knockdown increased drug sensitivity 10-fold

Notably, iNFixion’s antibody detected neurofibromin variants undetectable by conventional tools in xenograft models, enabling preclinical drug efficacy studies .

Therapeutic Development Applications

NF1 antibodies are pivotal for:

  • Drug discovery: Monitoring neurofibromin restoration in iNFixion’s NF1 protein-targeted therapies

  • Diagnostics: Identifying NF1-deficient tumors eligible for MEK inhibitor trials

  • Biomarker validation: Correlating neurofibromin levels with survival in MPNSTs (5-year OS: 23% vs 67% in NF1-intact cases)

Product Specs

Buffer
The antibody is provided as a liquid solution in phosphate-buffered saline (PBS) containing 50% glycerol, 0.5% bovine serum albumin (BSA), and 0.02% sodium azide as a preservative.
Form
Liquid
Lead Time
Typically, we can ship the products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchase method or location. Please consult your local distributors for specific delivery times.
Synonyms
DKFZp686J1293 antibody; FLJ21220 antibody; Neurofibromatosis Noonan syndrome antibody; Neurofibromatosis related protein NF 1 antibody; Neurofibromatosis related protein NF1 antibody; neurofibromatosis type I antibody; Neurofibromatosis-related protein NF-1 antibody; Neurofibromin 1 antibody; Neurofibromin truncated antibody; Neurofibromin1 antibody; NF 1 antibody; NF antibody; NF1 antibody; NF1_HUMAN antibody; NFNS antibody; Type 1 Neurofibromatosis antibody; von Recklinghausen disease neurofibromin antibody; von Recklinghausen disease related protein VRNF antibody; VRNF antibody; WATS antibody; Watson disease related protein WSS antibody; Watson syndrome antibody; WSS antibody
Target Names
NF1
Uniprot No.

Target Background

Function
This antibody stimulates the GTPase activity of Ras. NF1 exhibits a higher affinity for Ras GAP but possesses lower specific activity. It may function as a regulator of Ras activity.
Gene References Into Functions
  1. A genotype-phenotype correlation within the NF1 region 844-848 has been established and will be valuable for managing and providing genetic counseling to a significant number of individuals. PMID: 29290338
  2. Our research demonstrated that SMAD4 and NF1 mutations can serve as potential biomarkers for predicting poor prognosis to cetuximab-based therapy in Chinese metastatic colorectal cancer (mCRC) patients. PMID: 29703253
  3. A recurring missense variant c.269T>C (p.Leu90Pro) and a novel nonsense variant c.2993dupA (p.Tyr998*) in the NF1 gene were identified in two Chinese families with neurofibromatosis type 1. PMID: 30046999
  4. Deletion of NF1 leads to mutant oligodendrocyte precursor cell (OPC) expansion through increased proliferation and decreased differentiation. The deletion of p53 impairs OPC senescence. Signaling analysis revealed that while PI3K and MEK pathways undergo stepwise over-activation, mTOR signaling remains at a basal level in pre-transforming mutant OPCs but is abruptly up-regulated in tumor OPCs. PMID: 29392777
  5. In conclusion, using a panel including 17 susceptibility genes, we documented the presence of somatic mutations in over 50% of pheochromocytomas and paragangliomas (PPGL). We confirmed the high frequency of NF1 somatic mutations and identified KIF1B as the second most frequently mutated gene in PPGL tissues. PMID: 28515046
  6. Novel mutations in exon 4 and exon 7 of the NF1 gene were identified in these families, correlating with genotype-phenotype characteristics that explain the neurofibromatosis type 1 and peripheral nerve sheath tumor conditions in these patients. PMID: 29680440
  7. A novel causative NF1 mutation (c.6547_6548insA) was identified in a Chinese family with NF1. PMID: 28230002
  8. The somatic second hit in the NF1 gene sensitizes Schwann cells to sex hormones, resulting in significantly increased proliferation. PMID: 29185159
  9. This study retrospectively re-evaluated all NF1 gene variants found over 17 years of diagnostic activity and selected all mutations not reported in international databases or the medical literature. These mutations were stratified according to the five pathogenetic classes, analyzed for their type, and their distribution in the exons of the NF1 gene and in the domains of the corresponding protein. PMID: 28961165
  10. NF1 gene mutation is associated with neurofibromatosis type 1. PMID: 27980226
  11. The identification of a high frequency of somatic NF1 mutations in sporadic tumors indicates that neurofibromin likely plays a critical role in development, far beyond what is evident in the tumor predisposition syndrome Neurofibromatosis type 1. [Review] PMID: 28637487
  12. These findings provide a mechanism by which miR-107 regulates NF1 in gastric cancer (GC), highlighting the importance of the interaction between miR-107 and NF1 in GC development and progression. PMID: 27827403
  13. A review of neurofibromin with special attention to keratinocytes, melanocytes, NF1-related tumors, and melanoma. [Review] PMID: 27622733
  14. Data indicate that telomere length may play a role in driving genomic instability and clonal progression in neurofibromatosis type 1 neurofibromin 1 (NF1)-associated malignant peripheral nerve sheath tumors (MPNSTs). PMID: 28454108
  15. Findings indicate neurofibromin 1 (NF1) as the most frequently occurring driver mutation in mucosal melanoma, and RAS alterations, consisting of NRAS and KRAS mutations, were the second most frequent mutation type. PMID: 28380455
  16. Mutation in the NF1 gene is associated with mucosal melanoma. PMID: 28296713
  17. Results show that the NF1 protein negatively regulates Ccl5 expression through suppression of AKT/mTOR signaling. PMID: 28380429
  18. The fusion transcript codes for a protein in which the last 114 amino acids of SETD2, i.e., the entire Set2 Rpb1 interacting (SRI) domain of SETD2, are replaced by 30 amino acids encoded by the NF1 sequence. PMID: 28498454
  19. These studies demonstrate the ability of miR-10b to activate the expression of c-Jun through RhoC and NF1, representing a novel pathway for promoting migration and invasion of human cancer cells. PMID: 27494896
  20. This study identifies a novel cohort of non-small cell lung cancer defined by NF1 mutation and suggests that ongoing therapeutic targeting strategies for KRAS tumors may also have efficacy in this population. PMID: 26861459
  21. 3 patients with urachal adenocarcinoma had neurofibromin 1 (NF1) mutations. PMID: 27078850
  22. The human nonsense NF1(Arg681*) and missense NF1(Gly848Arg) mutations have different effects on neurofibromin expression in the mouse, and each recapitulates unique aspects of the NF1 phenotype. PMID: 27482814
  23. The NF1 phenotype and genotype were similar between children with and without Moyamoya syndrome (MMS). Interestingly, three children experienced tumors with malignant histology or behavior. The presence of two first cousins in our cohort suggested that there may be potential genetic factors, not linked to NF1, with an additional role with respect to NF1 that might play a role in MMS pathogenesis. PMID: 28422438
  24. The NF1-mutated subtype of melanoma had a higher mutational burden and the strongest ultraviolet rays mutation signature. PMID: 28267273
  25. A revised exon nomenclature system for NF1 is proposed based on the CDS coordinates of NM_000267.3ENST00000356175.7. This nomenclature differs from one in active use in the clinical community and represented on the Locus Reference Genomic sequence LRG_214/NG_009018.1. PMID: 28804759
  26. Comprehensive genetic analysis reveals the primacy of NF1 loss as the driver of peripheral nerve tumorigenesis. PMID: 28068329
  27. In a coclinical trial to examine how the tumor microenvironment influences the response to multiagent chemotherapy, we found that stromal Nf1 status had no effect. PMID: 28646022
  28. Loss of NF1 is associated with the pathogenesis of malignant peripheral nerve sheath tumor. PMID: 27477693
  29. Low NF1 expression is associated with Triple-Negative Breast Cancer. PMID: 28108518
  30. Molecular characterization reveals NF1 deletions and FGFR1-activating mutations in a pediatric spinal oligodendroglioma. PMID: 27862886
  31. This report presents the incidence of NF1 mutations/allelic loss in desmoplastic melanoma and suggests that the DM subtypes have distinct genetic drivers. PMID: 26980030
  32. The EVH1 domain of Spred1 binds to the noncatalytic portion of the GAP-related domain of neurofibromin. PMID: 27313208
  33. Loss of the NF1 gene is associated with malignant peripheral nerve sheath tumors. PMID: 28124441
  34. This study found that NF1 negatively regulates mTOR signaling in a LAMTOR1-dependent manner. Additionally, the cell growth and survival of NF1-deficient cells have become dependent on hyperactivation of the mTOR pathway, and the tumorigenic properties of these cells have become dependent on LAMTOR1. PMID: 28174230
  35. Mutations in neurofibromin 1 (NF1) are common in cancer, including melanoma, and targeting NF1-regulated pathways offers potential therapeutic options for the treatment of NF1 and melanoma. PMID: 28067895
  36. It was found that homozygous Stat5 deficiency extended the lifespan of Nf1-deficient mice and eliminated the development of myeloproliferative neoplasm associated with Nf1 gene loss. PMID: 27418650
  37. This summary presents current knowledge about genotype-phenotype relationships in NF1 microdeletion patients and discusses the potential role of genes located within the NF1 microdeletion interval whose haploinsufficiency may contribute to the more severe clinical phenotype. PMID: 28213670
  38. A pathological role of the c.853_854insTC mutation is suggested. PMID: 27374410
  39. Notch is an Nf1 effector. PMID: 28423318
  40. The results from our work show that the molecular basis of NF1 splicing mutations is diverse. Therefore, molecular characterization at both the gDNA and mRNA levels allowed for a better understanding of gDNA-mRNA correlations of NF1 mutations. PMID: 27074763
  41. A novel frameshift mutation co-segregated with the disease, exhibiting diverse phenotypes among the affected members of a Chinese family. PMID: 27234610
  42. The findings of this study suggest that the Neurofibromatosis 1-Noonan syndrome (NFNS) phenotype may be the result of both a genetic factor of mutation in the neurofibromin 1 gene (NF1) and an epigenetic/environmental factor. PMID: 27107091
  43. The findings of this study suggest that most childhood NF1-associated low-grade gliomas are midline and benign in nature, while hemispheric NF1-related gliomas may have a more aggressive biological and clinical behavior. PMID: 27659822
  44. The use of Next-Generation Sequencing has proven to be effective in terms of cost and time for analysis, enabling the identification of a patient with NF1 mosaicism. PMID: 27838393
  45. Her-2, N-ras, and Nf1 play roles in brain oncogenesis. PMID: 27630302
  46. A significant correlation between neurofibromin expression and colorectal tumor localization was found, with tumors arising in the colon showing intense NF expression more often than those arising in the rectum; higher expression of NF was more common in tumors not responding to treatment; and tumors with multiple metastases showed higher expression of NF than those with single metastasis. PMID: 27798892
  47. Mutation in the NF1 gene is associated with Neurofibromatosis-Noonan Syndrome. PMID: 26758488
  48. The computational model results have added credibility to the experimental hypothesis of a genetic cause (i.e., Nf1 mutation) for Congenital pseudarthrosis of the tibia. PMID: 26822862
  49. The pattern of growth differs substantially in deletion and non-deletion neurofibromatosis 1 patients, but the pathogenic basis for this difference is unknown. PMID: 26111455
  50. Fine mapping of meiotic NAHR-associated crossovers causing large NF1 deletions has been reported. PMID: 26614388

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Database Links

HGNC: 7765

OMIM: 114500

KEGG: hsa:4763

STRING: 9606.ENSP00000351015

UniGene: Hs.113577

Involvement In Disease
Neurofibromatosis 1 (NF1); Leukemia, juvenile myelomonocytic (JMML); Watson syndrome (WTSN); Familial spinal neurofibromatosis (FSNF); Neurofibromatosis-Noonan syndrome (NFNS); Colorectal cancer (CRC)
Subcellular Location
Nucleus. Nucleus, nucleolus.
Tissue Specificity
Detected in brain, peripheral nerve, lung, colon and muscle.

Q&A

What is neurofibromin (NF1) protein and why is it significant in research?

Neurofibromin, encoded by the NF1 gene located on chromosome 17, functions as a GTPase-activating protein and negative regulator of the Ras signal transduction pathway . The significance of neurofibromin in research stems from its role as a tumor suppressor. Mutations in the NF1 gene are associated with neurofibromatosis type 1 (affecting approximately 1 in 3,000 newborns), juvenile myelomonocytic leukemia, and Watson syndrome . Additionally, NF1 mutations have been implicated in various cancers, making it a critical target for oncological research .

The protein's size (319 kDa) and complex structure have historically presented challenges for detection and analysis, driving the need for highly specific antibodies as research tools .

How do monoclonal and polyclonal NF1 antibodies differ in research applications?

Both monoclonal and polyclonal NF1 antibodies serve distinct research purposes:

Monoclonal NF1 Antibodies:

  • Derived from single B-cell clones, recognizing a specific epitope

  • Offer higher specificity for distinct regions of the neurofibromin protein

  • Provide more consistent results across experiments with less batch-to-batch variation

  • Examples include the Picoband® (monoclonal, 4C6F10) antibody and the NFC clone antibody

  • Particularly valuable for distinguishing between wild-type and mutant forms of neurofibromin

Polyclonal NF1 Antibodies:

  • Derived from multiple B-cell lineages, recognizing multiple epitopes

  • Generally provide stronger signals due to binding to multiple sites

  • More tolerant to minor protein denaturation or conformational changes

  • Example includes the PACO06677 polyclonal antibody raised in rabbits

  • Often preferred for applications requiring higher sensitivity

The methodological choice between these antibody types depends on the research question. For precise localization of specific domains, monoclonal antibodies are preferred. For initial detection in samples with potentially low NF1 expression, polyclonal antibodies may be advantageous.

What specific experimental applications are NF1 antibodies validated for?

NF1 antibodies have been validated for multiple experimental applications, with performance varying by antibody clone and preparation:

ApplicationValidated AntibodiesRecommended DilutionsNotes
Western BlotPicoband® (M00043), PACO066770.25-0.5 μg/ml (Picoband®), 1:500-1:2000 (PACO06677)Expected band at ~319 kDa
ImmunohistochemistryPicoband® (M00043), NFC clone2-5 μg/mlValidated on paraffin-embedded tissues
Flow CytometryPicoband® (M00043)1-3 μg/10^6 cellsRequires cell fixation and permeabilization
ELISAPACO066771:20000High dilution reflects sensitivity
ImmunofluorescencePACO066771:200-1:1000Used for cellular localization studies
ACUMEN protocolVarious commercial antibodiesVariableAdvanced protocol using CRISPR/Cas9 systems

For optimal results, researchers should perform validation testing with their specific samples and experimental conditions.

How can researchers validate NF1 antibody specificity for their experiments?

Validating NF1 antibody specificity requires a multi-faceted approach:

  • CRISPR/Cas9 knockout controls: Generate NF1-knockout cell lines to serve as negative controls. This approach, known as ACUMEN (affinity purification/mass spectrometry in CRISPR/Cas9 utilizing systems for mapping endogenous protein complexes), has proven highly effective in distinguishing genuine interactions from background noise .

  • Peptide competition assays: Pre-incubate the antibody with the immunizing peptide before application. Specific binding should be blocked by the peptide, resulting in signal reduction.

  • Multi-application validation: Verify antibody performance across multiple techniques (Western blot, IHC, flow cytometry). The Picoband® and PACO06677 antibodies have been validated across multiple applications, providing confidence in their specificity .

  • Internal controls: For IHC applications, examine non-neoplastic cells within the same tissue section as internal positive controls. The NFC antibody has been successfully employed using this approach, with researchers scoring samples as negative only when neoplastic cells showed no staining while internal controls remained positive .

  • Genetic correlation: Compare antibody reactivity with known genetic status. In a study of gastrointestinal stromal tumors (GISTs), the NFC antibody showed 83% sensitivity and 95% specificity for detecting NF1-inactivated tumors when validated against molecularly characterized samples .

What are the best practices for sample preparation when using NF1 antibodies?

Optimal sample preparation significantly impacts NF1 antibody performance:

For Western Blot:

  • Use lower percentage gels (5-8%) or gradient gels (5-20%) to effectively resolve the large 319 kDa neurofibromin protein

  • Load sufficient protein (30 μg recommended) to detect the typically low-abundance NF1 protein

  • Perform protein transfer at lower currents (150 mA) for extended periods (50-90 minutes) to ensure complete transfer of large proteins

  • Block membranes thoroughly (5% non-fat milk/TBS for 1.5 hours) to minimize background

For Immunohistochemistry:

  • Heat-mediated antigen retrieval in EDTA buffer (pH 8.0) is critical for exposing NF1 epitopes

  • Block with 10% goat serum to reduce non-specific binding

  • Incubate with primary antibody overnight at 4°C for optimal binding

  • Use biotinylated secondary antibodies with Strepavidin-Biotin-Complex (SABC) for signal amplification

For Flow Cytometry:

  • Fix cells with 4% paraformaldehyde and permeabilize thoroughly to allow antibody access to intracellular neurofibromin

  • Block with 10% normal goat serum before antibody incubation

  • Include proper isotype controls and unlabeled samples as technical controls

How can researchers troubleshoot weak or absent NF1 antibody signals?

When encountering weak or absent signals with NF1 antibodies, consider these systematic troubleshooting approaches:

  • Protein degradation: Neurofibromin is susceptible to proteolytic degradation. Use fresh samples and include protease inhibitors in all buffers. Consider reducing sample preparation time and maintaining cold temperatures throughout.

  • Insufficient antigen retrieval: For IHC applications, optimize antigen retrieval conditions. The recommended EDTA buffer (pH 8.0) has proven effective for NF1 detection .

  • Antibody concentration: The large size of neurofibromin may require higher antibody concentrations than typically used for other proteins. For western blotting, begin with 0.5 μg/ml for Picoband® antibodies .

  • Biological absence: Confirm if your sample might genuinely lack neurofibromin expression due to mutations. NFC antibody studies demonstrate that loss of immunoreactivity significantly correlates with biallelic NF1 inactivation, particularly with large deletions or truncating mutations .

  • Epitope accessibility: If using an antibody targeting a specific domain, consider testing antibodies targeting different regions of neurofibromin. For instance, NFC antibody (targeting the C-terminus) may give different results than antibodies targeting other domains if mutations affect specific regions .

  • Transfer efficiency: For western blots, verify transfer efficiency using Ponceau S staining, particularly for the high molecular weight range where neurofibromin migrates.

How can NF1 antibodies be used to study protein-protein interactions involving neurofibromin?

NF1 antibodies enable several sophisticated approaches to study neurofibromin's protein interaction network:

  • ACUMEN methodology: This advanced technique combines CRISPR/Cas9 gene editing with affinity purification/mass spectrometry. By comparing immunoprecipitates from wild-type and NF1-knockout cells, researchers can distinguish genuine interactions from background contamination with high confidence .

  • Co-immunoprecipitation (Co-IP): NF1 antibodies enable pull-down of neurofibromin complexes to identify binding partners. This approach identified the critical NF1-KRAS interaction in early studies, revealing neurofibromin's role in RAS pathway regulation .

  • Proximity ligation assays (PLA): By combining NF1 antibodies with antibodies against potential interacting partners, researchers can visualize interactions in situ when proteins are within 40 nm of each other.

  • Domain-specific antibodies: Using antibodies targeting specific domains of neurofibromin helps map interaction interfaces. For example, antibodies against the GRD (GAP-related domain) can help characterize interactions with RAS family proteins.

The methodological key is to properly validate each interaction through multiple complementary techniques. For example, researchers studying NF1-KRAS interactions first identified the interaction through Co-IP and then confirmed it using mass spectrometry analysis and functional studies .

How can researchers use NF1 antibodies to evaluate therapeutic responses targeting the NF1/RAS pathway?

NF1 antibodies provide valuable tools for evaluating therapeutic interventions:

  • Protein restoration monitoring: For therapies aimed at restoring normal NF1 protein expression levels (as pursued by iNFixion Biosciences), highly sensitive antibodies are crucial to detect even small changes in protein levels . Monitoring both total protein levels and subcellular localization can provide insights into therapeutic efficacy.

  • Pathway activation assessment: Since neurofibromin negatively regulates RAS signaling, antibodies against phosphorylated downstream effectors (pERK, pAKT) used in conjunction with NF1 antibodies can determine if therapies effectively restore pathway regulation despite low NF1 levels.

  • Patient stratification: The NFC antibody has demonstrated value in identifying patients with NF1-inactivated tumors (83% sensitivity, 95% specificity) . This approach helps select patients likely to benefit from therapies targeting the RAS pathway.

  • Post-treatment tissue evaluation: In preclinical models and clinical trials, comparing NF1 expression in pre- and post-treatment samples can determine if therapies induce changes in neurofibromin expression or localization.

  • Immune response evaluation: A recent study demonstrated that NF1 patients have significantly higher immune responses to SARS-CoV-2 vaccination compared to healthy controls, suggesting altered immune regulation . NF1 antibodies combined with immune cell markers could help characterize immune dysregulation in NF1 patients and evaluate immunotherapy approaches.

What are the cutting-edge developments in NF1 antibody technology and how might they advance research?

Recent innovations in NF1 antibody technology are transforming research capabilities:

  • Full-length protein immunogens: iNFixion Biosciences partnered with Abterra Biosciences to pioneer the use of full-length NF1 protein as an immunogen, significantly improving antibody quality. This advance came through collaboration with the Frank McCormick Lab at UCSF and Dr. Dominic Esposito of the Frederick National Lab .

  • Superior monoclonal antibodies: The new monoclonal antibody developed by iNFixion demonstrates "highly selective and sensitive detection of neurofibromin across a variety of important assay methods, including western blotting, ELISAs, and immunohistochemistry (IHC)" and performs "superior to current commercially available NF1 antibodies" .

  • Domain-specific antibodies: Development of antibodies targeting specific functional domains of neurofibromin enables more precise mechanistic studies. The NFC antibody targeting the C-terminus has proven particularly valuable for detecting NF1-inactivated tumors .

  • Integration with CRISPR/Cas9 technology: The ACUMEN approach combines antibody-based protein complex purification with CRISPR/Cas9 knockout controls, dramatically reducing false positives in interaction studies .

These developments are enabling researchers to:

  • Detect smaller changes in neurofibromin levels, critical for evaluating therapeutic efficacy

  • Distinguish between wild-type and mutant forms of the protein

  • Characterize domain-specific functions and interactions

  • Identify patient populations likely to benefit from specific therapeutic approaches

How should researchers interpret discrepancies between NF1 antibody results and genetic testing?

Discrepancies between NF1 protein detection and genetic findings require careful interpretation:

  • Epitope specificity: Consider which domain the antibody targets. The NFC antibody study found that immunoreactivity was retained in cases with missense mutations predicted not to affect neurofibromin half-life, even when the mutation was homo/hemizygous . In contrast, truncating mutations generally led to antibody reactivity loss.

  • Heterozygosity effects: The NFC antibody study revealed that immunoreactivity was retained in two cases where NF1 alterations were heterozygous . This suggests that even partial wild-type protein expression may be sufficient for antibody detection.

  • Post-transcriptional regulation: RNA editing of the NF1 mRNA (CGA>UGA->Arg1306Term) can result in premature translation termination , potentially causing discrepancies between genetic and protein analyses.

  • Alternative splicing: Multiple NF1 transcript variants exist due to alternative splicing . Some antibodies may detect specific isoforms while missing others, depending on the epitope location.

  • Protein stabilization mechanisms: In some contexts, mutant neurofibromin may be stabilized by binding partners or chaperone proteins, allowing detection despite genetic alterations.

The methodological approach to resolving these discrepancies should include:

  • Testing with multiple antibodies targeting different domains

  • Employing RNA analysis to detect alternative splicing or editing events

  • Using mass spectrometry to confirm protein presence/absence and identify specific peptides

What controls are essential when using NF1 antibodies in research with genetically modified models?

When studying NF1 in genetically modified models, rigorous controls are critical:

  • CRISPR/Cas9 knockout validation: For CRISPR-generated NF1 knockout models, confirm frameshift mutations in both alleles through sequencing . The study by Peng et al. demonstrated that confirming biallelic frameshift mutations in clone no. 8 was essential before using it as a negative control.

  • Allele-specific controls: For heterozygous models, include wild-type, heterozygous, and homozygous samples when possible to establish a protein expression gradient. NFC antibody studies showed retained immunoreactivity with heterozygous NF1 alterations but loss with biallelic inactivation .

  • Internal tissue controls: For IHC applications, non-neoplastic cells within the tissue serve as critical internal positive controls. In the NFC antibody study, cases were scored as negative only when neoplastic cells showed no staining while internal controls remained positive .

  • Isotype controls: For flow cytometry, include proper isotype controls (mouse IgG at equivalent concentration) and unlabeled samples as baseline controls .

  • Multiple antibody validation: Use antibodies targeting different domains of neurofibromin to differentiate between complete protein loss and domain-specific alterations.

  • Temporal controls: For inducible systems, establish a clear time course of protein loss following induction to differentiate between regulation and degradation effects.

How can researchers accurately quantify neurofibromin levels using NF1 antibodies in heterogeneous tissue samples?

Quantifying neurofibromin in complex tissues requires specialized approaches:

  • Multiplex immunofluorescence: Combine NF1 antibodies with cell type-specific markers to simultaneously identify cell populations and quantify neurofibromin expression within each population. This is particularly important since NF1 expression varies across cell types.

  • Digital pathology tools: For IHC applications, use digital image analysis software that can discriminate between neoplastic and non-neoplastic regions based on morphological features, then quantify staining intensity specifically within regions of interest.

  • Laser capture microdissection: Physically separate different cell populations before protein extraction and western blot analysis to obtain cell type-specific quantification.

  • Flow cytometry-based quantification: For cell suspensions from disaggregated tissues, combine surface markers with intracellular NF1 staining for population-specific quantification. The Picoband® antibody has been validated for flow cytometry applications .

  • Standard curve generation: For absolute quantification, generate standard curves using recombinant neurofibromin or synthetic peptides, taking into account the large size and complex structure of the protein.

When reporting results from heterogeneous samples, clearly specify:

  • The cell populations analyzed

  • The quantification method and parameters

  • Whether values represent relative or absolute expression

  • The normalization approach used

How might NF1 antibodies help elucidate the role of neurofibromin in immune regulation?

Recent findings suggest neurofibromin plays unexpected roles in immune function:

  • Enhanced vaccine responses: A 2023 study revealed that NF1 patients develop significantly higher immune responses to SARS-CoV-2 vaccination compared to healthy controls . The mean titer of neutralizing antibodies was 403.25 in NF1 patients versus 64.96 in controls, suggesting altered immune regulation.

  • Immune cell proliferation: Transgenic models of B and T cells lacking neurofibromin expression showed increased immune cell proliferation , potentially through hyperactivation of the RAS signaling pathway.

  • Mast cell-B cell interactions: Crosstalk between mast cells and B cells appears essential in B-cell development in NF1-deficient models , suggesting complex immune regulatory mechanisms.

To investigate these phenomena, researchers can employ NF1 antibodies in:

  • Flow cytometry analyses of immune cell subpopulations in NF1 patients

  • Immunoprecipitation studies to identify neurofibromin-interacting partners in immune cells

  • Tissue analyses to map neurofibromin expression across immune cell subsets

  • Functional assays measuring immune cell activation in response to various stimuli

The methodological approach should integrate protein-level analyses with functional immune assays to connect neurofibromin expression patterns with altered immune function.

What is the current understanding of post-translational modifications of neurofibromin and how can antibodies help characterize them?

Post-translational modifications (PTMs) of neurofibromin remain understudied but potentially crucial for function:

  • Phosphorylation: RAS pathway proteins typically undergo regulatory phosphorylation. Phospho-specific NF1 antibodies would help map these modifications and their functional consequences.

  • Ubiquitination: As a tumor suppressor, neurofibromin levels may be regulated by ubiquitin-mediated degradation. Antibodies detecting ubiquitinated neurofibromin could reveal regulation mechanisms.

  • Proteolytic processing: The large size of neurofibromin (319 kDa) suggests potential processing into functional fragments. Domain-specific antibodies can help identify such fragments.

  • Subcellular localization signals: PTMs often regulate protein localization. Antibodies combined with subcellular fractionation can track how modifications affect neurofibromin distribution.

Methodological approaches to study NF1 PTMs include:

  • Immunoprecipitation with NF1 antibodies followed by mass spectrometry to identify modification sites

  • Development of modification-specific antibodies

  • Correlation of PTM patterns with functional outcomes

  • Temporal studies during cell signaling events to capture dynamic modifications

How can researchers best utilize NF1 antibodies to study the structural biology and conformational states of neurofibromin?

Understanding neurofibromin's structure-function relationships requires specialized approaches:

  • Conformational antibodies: Developing antibodies that recognize specific conformational states of neurofibromin could help identify active versus inactive states of the protein.

  • Domain-interaction studies: Using antibodies targeting different domains in proximity ligation assays could reveal intramolecular interactions and conformational changes upon activation.

  • Structure-guided epitope mapping: As structural information becomes available through cryo-EM and other techniques, correlating epitope accessibility with protein conformation provides insights into functional states.

  • Native protein analysis: Antibodies compatible with native conditions (non-denaturing) enable studies of neurofibromin in its physiological conformation and in complex with binding partners.

  • Conformational dynamics: Using antibodies with fluorescent or FRET-compatible tags could enable real-time monitoring of conformational changes in live cells.

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